Azure Data Engineer | Data Engineering and Azure Services

3 years

5 - 8 Lacs

Posted:19 hours ago| Platform: GlassDoor logo

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On-site

Job Type

Part Time

Job Description

We are seeking a skilled and motivated Data Engineer with 3–4 years of hands-on experience in building and managing scalable data solutions. The ideal candidate should have strong expertise in Azure services, Azure Data Factory, ETL/ELT processes, data warehousing, and RBAC (Role-Based Access Control). You will be responsible for designing, implementing, and optimizing data pipelines and ensuring secure access to data platforms.

Key Responsibilities: –

  • Design, develop, and maintain data pipelines using Azure Data Factory.
  • Implement ETL/ELT processes for structured and unstructured data.
  • Build and optimize data warehouses for analytics and reporting needs.
  • Integrate and manage data from multiple sources to ensure data quality, consistency, and reliability.
  • Work with Azure services (Data Lake, Synapse, Databricks, etc.) to deliver end-to-end data solutions.
  • Implement and maintain RBAC policies to ensure secure and compliant data access.
  • Collaborate with data analysts, data scientists, and business stakeholders to provide reliable datasets.
  • Monitor and troubleshoot pipelines, ensuring performance, scalability, and cost optimization.

Required Skills & Qualifications

  • 4+ years of experience in Data Engineering, with at least 2 end-to-end data warehouse or data lake projects.
  • Strong SQL expertise (complex queries, window functions, performance tuning).
  • Hands-on experience with Azure Data Services:
    • Azure Data Factory (ADF)
    • Azure Databricks (PySpark/Scala)
    • Azure Data Lake (Gen1/Gen2)
    • Delta Lake / Delta Tables
    • Synapse Analytics
    • Azure Key Vault, RBAC & security features
  • Good understanding of ETL/ELT tools such as Pentaho, dbt, or equivalent.
  • Knowledge of Big Data & distributed processing frameworks (Spark, optimization techniques).
  • Familiarity with version control & CI/CD for data pipelines (GitHub/Azure DevOps).
  • 1–2 years of Power BI hands-on experience.
  • Excellent communication, problem-solving, and leadership abilities

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